• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2006.06a
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• pp.414-435
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• 2006

• Korean Journal of Radiology
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• v.23 no.10
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• pp.986-997
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• 2022

Objective: Whether metabolic redistribution occurs in patients with white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) is unknown. This study aimed 1) to propose a measure of the brain metabolic network for an individual patient and preliminarily apply it to identify impaired metabolic networks in patients with WMHs, and 2) to explore the clinical and imaging features of metabolic redistribution in patients with WMHs. Materials and Methods: This study included 50 patients with WMHs and 70 healthy controls (HCs) who underwent ¹⁸F-fluorodeoxyglucose-positron emission tomography/MRI. Various global property parameters according to graph theory and an individual parameter of brain metabolic network called "individual contribution index" were obtained. Parameter values were compared between the WMH and HC groups. The performance of the parameters in discriminating between the two groups was assessed using the area under the receiver operating characteristic curve (AUC). The correlation between the individual contribution index and Fazekas score was assessed, and the interaction between age and individual contribution index was determined. A generalized linear model was fitted with the individual contribution index as the dependent variable and the mean standardized uptake value (SUV_mean) of nodes in the whole-brain network or seven classic functional networks as independent variables to determine their association. Results: The means ± standard deviations of the individual contribution index were (0.697 ± 10.9) × 10^-3 and (0.0967 ± 0.0545) × 10^-3 in the WMH and HC groups, respectively (p < 0.001). The AUC of the individual contribution index was 0.864 (95% confidence interval, 0.785-0.943). A positive correlation was identified between the individual contribution index and the Fazekas scores in patients with WMHs (r = 0.57, p < 0.001). Age and individual contribution index demonstrated a significant interaction effect on the Fazekas score. A significant direct association was observed between the individual contribution index and the SUV_mean of the limbic network (p < 0.001). Conclusion: The individual contribution index may demonstrate the redistribution of the brain metabolic network in patients with WMHs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2112-2122
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• 2014

Most of the researches on coopetition are focused on the effect of coopetion on firm performance in the firm level. However, few studies attempted to find out the effect of coopetition in team and individual level. In this paper, we examined the effect of individual perception of team climate for coopetition on the knowledge sharing and the moderating effects of procedural justice and personal initiative between the two variables. Empirical results using R&D researchers in research institutes of large-firms showed that individual perception of team climate for coopetition is positively related to knowledge sharing. In addition, we also found that procedural justice has positively strengthened the effect of coopetition on knowledge sharing. Finally, we addressed implications, limitations and future research directions.

• Parasites, Hosts and Diseases
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• v.47 no.3
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• pp.235-241
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• 2009

The aim of this study was to estimate the benefit from repeated examinations in the diagnosis of enterobiasis in nursery school groups, and to test the effectiveness of individual-based risk predictions using different methods. A total of 604 children were examined using double, and 96 using triple, anal swab examinations. The questionnaires for parents, structured observations, and interviews with supervisors were used to identify factors of possible infection risk. In order to model the risk of enterobiasis at individual level, a similarity-based machine learning and prediction software Constud was compared with data mining methods in the Statistica 8 Data Miner software package. Prevalence according to a single examination was 22.5%; the increase as a result of double examinations was 8.2%. Single swabs resulted in an estimated prevalence of 20.1% among children examined 3 times; double swabs increased this by 10.1%, and triple swabs by 7.3%. Random forest classification, boosting classification trees, and Constud correctly predicted about 2/3 of the results of the second examination. Constud estimated a mean prevalence of 31.5% in groups. Constud was able to yield the highest overall fit of individual-based predictions while boosting classification tree and random forest models were more effective in recognizing Enterobius positive persons. As a rule, the actual prevalence of enterobiasis is higher than indicated by a single examination. We suggest using either the values of the mean increase in prevalence after double examinations compared to single examinations or group estimations deduced from individual-level modelled risk predictions.

• Journal of the Korean Regional Science Association
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• v.34 no.2
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• pp.35-47
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• 2018

This research aims to examine the spatial patterns of vacant housings and the factors determining housing vacancy in Daegu using individual-level building DB. The results of the spatial pattern analysis showed a donut shaped-spatial concentration of vacant housings in the central areas of the city. The results of logistic regression analysis revealed that not only individual building characteristics, such as building area, number of floors, and building age, but also socio-economic characteristics of community, such as urban redevelopment district, number of adjacent vacancies, recent population change, and ratio of elderly, are important factors affecting housing vacancies.

• Korean Journal of Community Nutrition
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• v.16 no.6
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• pp.647-660
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• 2011

The purpose of this study was to investigate effects of nutrition education program and pamphlet for the lower grades elementary students focused on individual daily needed food exchange units using Food Exchange System. Program consisted of four lessons (40 min/lesson), "5 major nutrients & function", "6 food group and sources", "daily needed food exchange units for normal body weight", and "smart snack choice and exercise". Pamphlet as activity book was developed for the program. The subjects were 3rd grade elementary students (educated group, 31 vs. non-educated group, 31). Educated group were lessoned as group and/or individual. We examined the differences in nutrition knowledge, dietary attitudes, dietary intakes and satisfaction of the program and pamphlet. In educated group, there were positive improvements on nutrition knowledge score "function and foods of 5 nutrients" and on dietary attitudes "type of breakfast and snacks". In the evaluation of dietary intakes according to KDRI, there were positive improvements on intakes level of riboflavin, vit. C, folate, Ca, P, Fe and Zn in educated group. In satisfaction with the program and pamphlet, contents, font size, visual, figure, difficulty and program curriculum were over 2.90/3.0. It showed that the developed nutrition education program and pamphlet focused on individual daily needed food exchange units using Food Exchange System improved nutrition knowledge, dietary attitudes and nutrients intake level in the lower grades elementary students.

• Journal of the Korean association of regional geographers
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• v.20 no.2
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• pp.217-229
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• 2014

This study was performed to identify neighborhood deprivation indicators associated with health and to test the contextual effects of those indicators on individual health. This study calculated SMR based on Dong district and see the differences of prediction across deprivation index and indicators. Then, a multi-level analysis using HGLM was conducted to test the contextual effect of neighborhood depreivation indicators on health after controlling for demographic and socioeconomic status of individuals. The results showed that regional SMR had strong correlations with land price, education, welfare recipients, female household proportion in Dong district but failed to show the correlation with individual health and neighborhood deprivation. Individual health was only associated with individual level of demographic and socioeconomic status. That is, spatial dispersion of illness is understood as the distribution of social classes in terms of socioeconomic status of individuals, not the contextual aspects of community.

• Earthquakes and Structures
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• v.10 no.1
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• pp.211-238
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• 2016

The Maximum seismic responses of steel buildings with perimeter moment resisting frames (MRF), modeled as complex MDOF systems, are estimated for several incidence angles of the horizontal components and the critical one is identified. The accuracy of the existing rules to combine the effects of the individual components is also studied. Two and three components are considered. The critical response does not occur for principal components and the corresponding incidence angle varies from one earthquake to another. The critical response can be estimated as 1.40 and 1.10 times that of the principal components, for axial load and interstory shears, respectively. The rules underestimate the axial load but reasonably overestimate the shears. The rules are not always inaccurate in the estimation of the combined response for correlated components. On the other hand, totally uncorrelated (principal) components are not always related to an accurate estimation. The correlation of the individual effects (${\rho}$) may be significant, even for principal components. The rules are not always associated to an inaccurate estimation for large values of ${\rho}$, and small values of ${\rho}$ are not always related to an accurate estimation. Only for perfectly uncorrelated harmonic excitations and elastic analysis of SDOF systems, the individual effects of the components are uncorrelated and the rules accurately estimate the combined response. The degree of correlation of the components, the type of structural system, the response parameter under consideration, the location of the structural member and the level of structural deformation must be considered while estimating the level of underestimation or overestimation.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.8
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• pp.101-109
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• 2019

Korea's transportation paradigm is shifting from a vehicle-oriented transportation plan to a pedestrian-friendly environment that emphasizes walking safety. However, the level of pedestrian traffic accidents in Korea is still high and serious. The purpose of this study is to investigate factors affecting the severity of pedestrians traffic accidents using the multilevel logistic regression model based on 2015-2017 pedestrian accidents data provided by the Traffic Accident Analysis System(TAAS). The main results of the multilevel logistic regression model showed that 89% of pedestrian traffic accidents in Seoul were explained by individual characteristics such as drivers and pedestrians, and 11% were explained by neighborhood environmental characteristics. The results are as follows : In the individual characteristics such as pedestrians and drivers, the older the pedestrians and the drivers, the higher the traffic accident severity. The severity of traffic accidents was high when the pedestrians were female and the drivers were male. In the case of accident types, traffic accidents were more serious in the cases of heavy vehicles, inclement weather, and occurring at intersections and crosswalks. The results of the neighborhood environmental characteristics are as follows. The intersection density and the crosswalk density tended to reduce the severity of traffic accidents. On the other hand, the traffic light density and the school zones were founded to related to the higher level of traffic accident severity. This study suggests that both individual and neighborhood environmental characteristics should be considered together to prevent and reduce the severity of pedestrian traffic accidents.

• Asia Marketing Journal
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• v.17 no.3
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• pp.1-31
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• 2015

The present research examined the interesting but less attended effects of pride- and surprise-tagged money on consumers' spending decisions. Focusing on the unexpected money received in their daily life, we explored recipient's judgments and responses toward pride-tagged money versus surprise-tagged, and identified differences in types of recipient's consumption and spending behaviors between the pride- tagged money and the surprise-tagged money. Consumers tend to use the money associated with pride (vs. surprise) to reward their invested effort; as a result, they were more likely to buy a personal gift. Moreover, in the context of self-gift, consumers with pride-tagged money have showed a bigger positive difference between the intent to buy individual self-expressive products and the intent to buy social self-expressive products than those with surprise-tagged money. And the receipt of pride-tagged money activates motivation to express one's individual self. Consumers who have received a sum of extra money tend to add the money into the current spendable income account and broaden the array of product category. And consumers with high arousal level of surprise triggered by receiving a sum of unpredictable money because of good luck show a smaller difference between the intent to buy individual self-expressive product and the intent to buy social self-expressive product than those with low level arousal in pride. Therefore, marketers should advertise their products in the respects of individual self-expression when their customers have pride-tagged money, and should advertise their products in the respects of social self-identity when they have surprise-tagged money by winning a large sum of unpredicted money like lottery winning.